mercor

Data Science Expert - Fully Remote

United States · REMOTE · FREELANCE
Publiée le 13 septembre 2026 · Candidature traitée sur le site de l’entreprise
Data-Science-ExpertAI-Research-SpecialistAI-ML-Evaluation-SpecialistAI-Training-Data-SpecialistAI-Content-SpecialistRemote-Senior-Data-ScientistRemote-Data-ScienceData-Science

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning. • Design challenging agentic tasks rooted in real-world ML , data science , data engineering , and software workflows. Write accurate, well-documented solutions that serve as ground truth. • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality. • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical/Mechanical/Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM background. • Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods, or computational methods. • Ability to commit to 40 hours per week during weekdays for the duration of the engagement. • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection. • Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: • For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas